Victor S. Sheng

Artificial Intelligence · with Leuven · 2008–2017

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it

Whom Victor S. Sheng trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Bianca Zadrozny
2. Peter D. Turney
3. Charles Peter Elkan

Who trusts Victor S. Sheng overall

1. Andrea Dal Pozzolo
2. Luís Torgo
3. Olga Kolchyna
4. Gianluca Bontempi

Papers from Victor S. Sheng's perspective

Ordered by how strongly the researchers Victor S. Sheng trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning and making decisions when costs and probabilities are both unknown (Knowledge Discovery and Data Mining)
2. Cost-sensitive learning by cost-proportionate example weighting
3. Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree Induction Algorithm
4. Types of Cost in Inductive Concept Learning (arXiv.org)
5. Gradient-based learning applied to document recognition
6. Bagging Predictors
7. Efficient Estimation of Word Representations in Vector Space
8. Cost-sensitive learning bibliography
9. Sample selection bias as a specification error
10. Classification by Pairwise Coupling

Their papers

• Encyclopedia of Machine Learning and Data Mining (2017) — 452 citations
• Cost-Sensitive Learning and the Class Imbalance Problem (2008) — 347 citations